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Content provider
- European Bioinformatics Institute (EBI)9
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Keyword
- IntAct Molecular Interaction Database3
- Proteins (proteins)3
- Complex Portal2
- HMMER - protein homology search2
- InterPro2
- PDBeFold2
- Pfam2
- Protein classification2
- Protein sequence2
- Protein structure2
- Reactome pathways database2
- UniProt: The Universal Protein Resource2
- BioModels database1
- DNA & RNA (dna-rna)1
- Electron Microscopy Public Image Archive - EMPIAR1
- Logic modelling1
- Pathway enrichment analysis1
- Protein- protein interaction1
- Protein-protein interaction1
- Reactome Pathways Analysis1
- Spatial modelling1
- Systems (systems)1
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Scientific topic
- Protein bioinformatics3
- Protein databases3
- Protein informatics3
- Proteins3
- Biological model2
- Biological modelling2
- Biological system modelling2
- Functional genomics2
- Mathematical model2
- Systems biology2
- Systems modelling2
- Biological models1
- Biological network analysis1
- Biological network modelling1
- Biological network prediction1
- Biological networks1
- Biological pathways1
- Cellular process pathways1
- Codon usage1
- DNA chips1
- DNA microarrays1
- Disease pathways1
- Dynamic systems1
- Dynamical systems1
- Dynymical systems theory1
- Environmental information processing pathways1
- Expression1
- Gene expression1
- Gene expression profiling1
- Gene regulatory networks1
- Gene transcription1
- Gene translation1
- Genetic information processing pathways1
- Graph analytics1
- Interactions1
- Interactome1
- Kinetic model1
- Mathematics1
- Maths1
- Metabolic pathways1
- MicroRNA sequencing1
- Molecular interactions1
- Molecular interactions, pathways and networks1
- Monte Carlo methods1
- Multivariate analysis1
- Network analysis1
- Network comparison1
- Network modelling1
- Network prediction1
- Network simulation1
- Network topology simulation1
- Networks1
- Pathways1
- Protein interaction map1
- Protein interaction networks1
- Protein interactions1
- Protein interactome1
- Protein-DNA interaction1
- Protein-DNA interactions1
- Protein-RNA interaction1
- Protein-RNA interactions1
- Protein-ligand interactions1
- Protein-nucleic acid interactions1
- Protein-protein interactions1
- RNA sequencing1
- RNA-Seq1
- RNA-Seq analysis1
- Signal transduction pathways1
- Signaling pathways1
- Small RNA sequencing1
- Small RNA-Seq1
- Small-Seq1
- Transcription1
- Transcriptome profiling1
- WTSS1
- Whole transcriptome shotgun sequencing1
- miRNA-seq1
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Event type
- Workshops and courses9
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Country
- United Kingdom8
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Target audience
- The workshop is open to postdocs in Cambridge, including candidates from University and affiliated institutions1
- This course is aimed at anyone interested in finding out more about protein biology. No prior experience of bioinformatics is required, but participants should have an undergraduate level understanding of biology. For those who wish to attend the session on programmatic access a prior knowledge of coding/programming would be of benefit. For an introduction to the concept of web services and how you can use them to access the tools and data available at EMBL-EBI please watch our webinar.1
- This course is aimed at experimental biologists, bioinformaticians and mathematicians who have just started in systems biology, are familiar with the basic terminology in this field and who are now keen on gaining a better knowledge of systems biology modelling approaches to understand biological and biomedical problems. A working knowledge of the Linux operating system and ability to use the command line or experience of using a programming language (e.g Python) would be a benefit but is not mandatory. An undergraduate knowledge of molecular and cellular biology or some background in mathematics is highly beneficial. 1
- This course is aimed at life science researchers needing to learn more about the basic processing of raw RNA-Seq data and downstream analysis. It will help those wanting to learn how to interpret gene expression data and explore results of biological significance from processed data. Participants will require a basic knowledge of the Unix command line, the Ubuntu 18 operating system and the R statistical packages. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux: https://training.linuxfoundation.org/free-linux-training Basic R concept tutorials: www.r-tutor.com/r-introduction Regardless of your current knowledge we encourage successful participants to use these, and other materials, to prepare for attending the course and future work in this area.1
- This course is aimed at life science researchers wanting to learn more about processing RNA-Seq data and later downstream analysis. It will help those wanting a basic introduction to handling RNA-Seq data, guiding them through several common approaches that can be applied to their own datasets. It features taught and practical sessions that cover how to interpret gene expression data and learn more about the biological significance of certain results. Participants will require a basic knowledge of the Unix command line, the Ubuntu 18 operating system and the R statistical packages. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux: https://training.linuxfoundation.org/free-linux-training Basic R concept tutorials: www.r-tutor.com/r-introduction Regardless of your current knowledge we encourage successful participants to use these, and other materials, to prepare for attending the course and future work in this area.1
- This course is aimed at researchers currently working with zebrafish and generating genomic and functional data. Graduate students, postdoctoral fellows, research scientists and faculty are encouraged to apply. Little to no experience with RNA-seq analysis is required, however, applicants who have already generated an RNA-seq dataset from zebrafish samples relevant to their project will gain the most benefit from this course. Some experience with R is beneficial. 1
- This introductory course is aimed at bench-based biologists, who are involved in, or embarking on projects that will use network and pathway analysis or protein interaction data. For example, you may be using these tools in the interpretation of biological datasets or as part of a systems biology approach. The course requires no prior knowledge of pathway analysis or computer programming skills. Preference will be given to those actively involved in or commencing interaction/pathway-based projects.1
- This workshop is aimed at anyone interested in finding out more about protein biology. No prior experience of bioinformatics is required, but an undergraduate level understanding of biology would be of benefit.1
- This workshop is aimed at anyone interested in finding out more about protein biology. No prior experience of bioinformatics is required, but participants should have an undergraduate level understanding of biology. Those who are graduate students, postdocs and staff members from the University of Cambridge, affiliated institutions and other external Institutions or individuals, are invited to apply.1
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Instructor
- Thawfeek Mohamed Varusai
- Janick Mathys147
- Bruna Piereck73
- Alexander Botzki68
- Wandrille Duchemin59
- Matheus Lourenço52
- True Colours48
- Christof De Bo45
- Benjamin Pavie39
- Elien Vandermarliere34
- Lieve Ongena34
- Geert van Geest33
- Aleena Mushtaq29
- Robin Engler29
- René Custers23
- Agnes Uhereczky21
- Gert Van Isterdael20
- Lucia Smit20
- Amanda Gonçalves19
- Joris De Wolf19
- Benjamin Moore18
- Niels Vandamme18
- David Armstrong17
- Deepak Tanwar17
- Liesbeth De Milde17
- Michal Szpak17
- Nancy George17
- Robin Lefebvre17
- Barbara Baert16
- Birgit Meldal15
- James Collier15
- Kobe Lavaerts14
- Sarah Morgan14
- Sebastian Munck14
- Tom Hancocks14
- Wendi Bacon14
- Alexandra Holinski13
- Baron Koylass13
- Emily Perry13
- Anna Swan12
- Dayane Rodrigues Araujo12
- Nicolas Vannieuwkerke12
- Niels Geudens12
- Ricard Argelaguet12
- Sam Holt12
- Tania Wyss Lozano12
- Tatiana Woller12
- David Wishart11
- Jolan Heyse11
- Kalpana Panneerselvam11
- Lee Larcombe11
- Alex Bateman10
- Alexandre Bonvin10
- An Staes10
- Frédéric Burdet10
- Gustavo Ruiz Buendia10
- Krishna Kumar Tiwari10
- Lorna Richardson10
- Malachi Griffith10
- Rossana Zaru10
- Thuong Van Du Tran10
- Veronique Voisin10
- Bob Asselbergh9
- Gary Bader9
- Lennart Martens9
- Lieven Clement9
- Louisse Paola Mirabueno9
- Mathieu Bourgey9
- Obi Griffith9
- Osman Salih9
- Rahuman Sheriff9
- Silvie Fexova9
- Tallulah Andrews9
- Typhaine Paysan-Lafosse9
- Ajay Mishra8
- Alexey Larionov8
- Andrew Hercules8
- Bart Mesuere8
- Ben Verhoeven8
- Cath Brooksbank8
- Eliot Ragueneau8
- Evelien Van Hamme8
- Fabio Madeira8
- Frank Vernaillen8
- Geert Vermaerke8
- Hema Bye-A-Jee8
- Jared Simpson8
- Jean-luc Doumont8
- Koen Van den Eeckhout8
- Nicolas Peredo8
- Pavankumar Videm8
- Rachel Marcone8
- Tania Wyss8
- Trevor Pugh8
- Alyona Ivanova7
- Arne Defauw7
- Bart Ghesquière7
- Delphi Van Haver7
- Emily Bowler-Barnett7
- Engy Nasr7
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